Design and maintain scalable data pipelines using Microsoft Fabric, Databricks, and Azure services.
Optimize ETL/ELT processes for performance and cost efficiency.
Collaborate with cross-functional teams to transform data requirements into robust solutions.
The company builds modern cloud-based data platforms to power enterprise analytics and decision-making. It offers a fully remote, collaborative environment with global stakeholder interaction and opportunities for professional growth.
Design and develop end-to-end data pipelines using Azure Data Factory and Synapse Pipelines.
Manage Azure Databricks workspaces and clusters, optimizing Spark jobs for performance.
Automate infrastructure and deployments with Bicep and Azure DevOps CI/CD pipelines.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and agentic AI. With significant growth since 2016, the company has expanded across the US, Canada, and India, fostering a culture of craftsmanship and collaboration.
Assess the current Azure and Fabric data environment, defining target architecture and improvement roadmaps.
Design and implement modern ETL/ELT solutions using medallion architecture and metadata-driven frameworks.
Build scalable data pipelines integrating ERP, manufacturing, finance, and quality management systems.
The company is a partner organization undergoing a strategic data transformation to build a modern Azure and Microsoft Fabric data platform. It operates across finance, supply chain, manufacturing, and business intelligence, with a collaborative fully remote team.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
Define and govern scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems.
Partner with business stakeholders, data teams, and IT to translate requirements into technical blueprints and long-term platform roadmaps.
Drive platform cost optimization, performance tuning, and ensure compliance with security, confidentiality, and regulatory standards.
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. The company values diversity and innovation, has been recognized with awards for engineering excellence and work-life balance, and fosters an inclusive culture.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Design and deliver end-to-end data solutions for enterprise clients.
Build and maintain modern data lakes, warehouses, and analytical models.
Act as technical point of contact, mentor engineers, and drive quality.
The company is a consulting firm that delivers modern data platforms and analytics solutions for multinational clients. The culture emphasizes collaborative engineering, technical ownership, and work-life balance.
Design and build ingestion pipelines from enterprise source systems into the Databricks lakehouse using Delta Lake, owning Bronze-layer ingestion and building Silver-layer pipelines for cleansing and standardization.
Implement and maintain Databricks platform constructs for secure delivery, including catalogs, schemas, service principals, and job orchestration, and build CI/CD pipelines for data platform assets.
Apply data classification and segregation requirements within pipeline design, build data quality controls reflecting business meaning, and partner with teams to ensure reliable, governed data for downstream use.
Shield AI is a venture-backed defense-tech company founded in 2015 with the mission of protecting service members and civilians with intelligent systems, developing products like Hivemind autonomy software and V-BAT and X-BAT aircraft. The company has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology actively supports operations worldwide.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Design, build, and operationalize data infrastructure powering analytics and business intelligence, including end-to-end data pipeline development and cloud migration.
Own DataOps practices including CI/CD, infrastructure-as-code, and platform reliability across multi-cloud environments in a regulated setting.
Manage data quality, governance, and platform operations, collaborating with compliance and cybersecurity teams in a cleared environment.
Voyager is an innovative space, defense, and national security technology company committed to delivering transformative, mission-critical solutions. They are a company of doers, thinkers, and builders, united by purpose and grounded in reality, with a highly talented team in an innovative, mission-driven environment.
Design and implement the integration layer between Microsoft Fabric and Azure services, including Azure API Management, Data Factory, Event Hubs, and Databricks.
Define data contracts, API standards, and integration patterns that enable development teams to self-serve against the platform.
Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related tooling, implementing data quality and governance practices.
Renaissance Benefits offers supplemental health and ancillary benefits for employer groups and individuals nationwide. We are a growing company headquartered in Indianapolis, focused on providing outstanding products and services.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
Design, build, and maintain scalable data pipelines and analytics infrastructure on Azure Databricks.
Develop and optimize ETL/ELT processes to ingest and transform data from multiple sources.
Collaborate with cross-functional teams to deliver trusted, analytics-ready datasets for business intelligence.
Indigenous Pact is a technology company specializing in data platform and analytics solutions, with a focus on healthcare and indigenous communities. They foster a culture of empathy, wisdom, bravery, and transformation, and offer a remote-first work environment.
Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.
Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.
Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from various sources.
Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. They have grown quickly in five years and are aiming for $100M in revenue, with a culture of ownership, collaboration, and growth.
Analyze business requirements and translate them into scalable data models.
Design and implement data models for silver (3NF) and gold (star schema) layers in Azure Synapse.
Build data pipelines and transformations using Azure Synapse, Data Factory, Python/PySpark, and SQL.
Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. Backed by 8,500+ IT professionals and part of Tieto (EUR 2bn revenue), the company fosters a culture of openness, trust, and diversity.